Risultati della ricerca - coding (algorithmssssics OR (algorithm OR (Algorithmssssssics OR (algorithm OR algorithm))))

CodeImprove: Program Adaptation for Deep Code Models di Rathnasuriya, Ravishka, Zhao, Zijie, Yang, Wei

Sommario: “...Leveraging deep learning (DL)-based code analysis tools to solve software engineering tasks...”
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Code-switching Speech Recognition Under the Lens: Model- and Data-Centric Perspectives di Liu, Hexin, Zhang, Haoyang, Zhang, Qiquan, Zhang, Xiangyu, Shi, Dongyuan, Chng, Eng Siong, Li, Haizhou

Sommario: “... code-switching data further compounds these challenges. In this paper, we systematically analyze CS-ASR...”
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Communication-Efficient Approximate Gradient Coding di Munim, Sifat, Ramamoorthy, Aditya

Sommario: “... parameter server (PS) and multiple workers. Gradient coding is a technique that makes the learning process...”
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Polar Complexity: A New Descriptive Complexity with Applications to Source and Joint Source-Channel Coding di Yao, Xinyuanmeng, Ma, Xiao

Sommario: “... complexity efficiently, we further develop both a bisection-search algorithm and a low-complexity estimation...”
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Synthesis and Optimization of Encoding Circuits for Fault-Tolerant Quantum Computation di Peham, Tom, Steinberg, Matthew, Wille, Robert, Heußen, Sascha

Sommario: “... codes. We formulate encoder synthesis as a search over stabilizer tableaus and introduce greedy...”
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How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective di Luo, Xianzhen, Huang, Jinyang, Zheng, Wenzhen, Zhu, Qingfu, Xu, Mingzheng, Xu, Yiheng, Fan, Yuantao, Che, Wanxiang

Sommario: “... approximation algorithm to select maximally diverse wrong codes. Applying this framework to millions...”
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Benchmarking PhD-Level Coding in 3D Geometric Computer Vision di Li, Wenyi, Luo, Renkai, Yu, Yue, Gao, Huan-ang, Gao, Mingju, Yuan, Li, Fu, Chaoyou, Zhao, Hao

Sommario: “...AI-assisted coding has rapidly reshaped software practice and research workflows, yet today...”
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Efficient Routing of Quantum LDPC Codes on Programmable 2D Toric Architectures di Liu, Kun, Tsunoda, Takahiro, Xue, Sophia H., McKinney, Evan, Zhou, Zeyuan, Xu, Shifan, Schoelkopf, Robert J., Ding, Yongshan

Sommario: “..., our qubit layout and routing algorithm utilize symmetries of the codes and enable maximum parallelism...”
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Efficient List-decoding of Polynomial Ideal Codes with Optimal List Size di Ron-Zewi, Noga, Venkitesh, S., Wootters, Mary

Sommario: “... codes are list decodable with optimal list size with high probability, i.e., they attain the Singleton...”
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Entanglement Purification with Quantum LDPC Codes and Iterative Decoding di Rengaswamy, Narayanan, Raveendran, Nithin, Raina, Ankur, Vasić, Bane

Sommario: “...Recent constructions of quantum low-density parity-check (QLDPC) codes provide optimal scaling...”
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HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark di Li, Chaojian, Yu, Zhongzhi, Fu, Yonggan, Zhang, Yongan, Zhao, Yang, You, Haoran, Yu, Qixuan, Wang, Yue, Lin, Yingyan Celine

Sommario: “...-disciplinary knowledge in the algorithm, micro-architecture, and device-specific compilation. First...”
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Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings di Hammouamri, Ilyass, Khalfaoui-Hassani, Ismail, Masquelier, Timothée

Sommario: “... the expressivity in SNNs. Yet, efficient algorithms to learn these delays have been lacking. Here, we propose a new...”
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Large Language Models to Identify Social Determinants of Health in Electronic Health Records di Guevara, Marco, Chen, Shan, Thomas, Spencer, Chaunzwa, Tafadzwa L., Franco, Idalid, Kann, Benjamin, Moningi, Shalini, Qian, Jack, Goldstein, Madeleine, Harper, Susan, Aerts, Hugo JWL, Savova, Guergana K., Mak, Raymond H., Bitterman, Danielle S.

Sommario: “... and assessed for algorithmic bias. Our best-performing models were fine-tuned Flan-T5 XL (macro-F1 0.71...”
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Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering di Wu, Haiwei, Chen, Yiming, Zhou, Jiantao, Li, Yuanman

Sommario: “... detection algorithms formulate classification problems to classify pixels into forged or pristine. However...”
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Instant3D: Instant Text-to-3D Generation di Li, Ming, Zhou, Pan, Liu, Jia-Wei, Keppo, Jussi, Lin, Min, Yan, Shuicheng, Xu, Xiangyu

Sommario: “... an adaptive Perp-Neg algorithm that can dynamically adjust its concept negation scales according...”
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AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans di Perauer, Cedric, Heidrich, Laurenz Adrian, Zhang, Haifan, Nießner, Matthias, Kornilova, Anastasiia, Artemov, Alexey

Sommario: “... unsupervised pseudo-labels; and (2) a self-training algorithm for instance segmentation to fit robust, accurate...”
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Magnetars as Powering Sources of Gamma-Ray Burst Associated Supernovae, and Unsupervised Clustering of Cosmic Explosions di Kumar, Amit, Sharma, Kaushal, Vinkó, Jozsef, Steeghs, Danny, Gompertz, Benjamin, Lyman, Joseph, Dastidar, Raya, Singh, Avinash, Ackley, Kendall, Pursiainen, Miika

Sommario: “.... The bolometric light curves of all 15 SNe in our sample are well-regenerated utilising a $χ^2-$minimisation code...”
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Euclid preparation. Sensitivity to neutrino parameters di Euclid Collaboration, Archidiacono, M., Lesgourgues, J., Casas, S., Pamuk, S., Schöneberg, N., Sakr, Z., Parimbelli, G., Schneider, A., Peters, F. Hervas, Pace, F., Sabarish, V. M., Costanzi, M., Camera, S., Carbone, C., Clesse, S., Frusciante, N., Fumagalli, A., Monaco, P., Scott, D., Viel, M., Amara, A., Andreon, S., Auricchio, N., Baldi, M., Bardelli, S., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Cardone, V. F., Carretero, J., Castellano, M., Cavuoti, S., Cimatti, A., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Courbin, F., Courtois, H. M., Da Silva, A., Degaudenzi, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Ealet, A., Farina, M., Farrens, S., Ferriol, S., Frailis, M., Franceschi, E., Galeotta, S., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Hoekstra, H., Hormuth, F., Hornstrup, A., Jahnke, K., Joachimi, B., Keihänen, E., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Maino, D., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Martinet, N., Marulli, F., Massey, R., Maurogordato, S., McCracken, H. J., Medinaceli, E., Mei, S., Mellier, Y., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Nightingale, J. W., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L. A., Pozzetti, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Saglia, R., Sapone, D., Sartoris, B., Scaramella, R., Schirmer, M., Schneider, P., Schrabback, T., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Tallada-Crespí, P., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valenziano, L., Vassallo, T., Veropalumbo, A., Wang, Y., Weller, J., Zamorani, G., Zoubian, J., Zucca, E., Biviano, A., Boucaud, A., Bozzo, E., Burigana, C., Calabrese, M., Colodro-Conde, C., Crocce, M., Fabbian, G., Graciá-Carpio, J., Mainetti, G., Martinelli, M., Mauri, N., Neissner, C., Scottez, V., Tenti, M., Wiesmann, M., Akrami, Y., Anselmi, S., Baccigalupi, C., Ballardini, M., Bernardeau, F., Bertacca, D., Borgani, S., Borsato, E., Bruton, S., Cabanac, R., Cappi, A., Carvalho, C. S., Castignani, G., Castro, T., Cañas-Herrera, G., Chambers, K. C., Contarini, S., Cooray, A. R., Coupon, J., Davini, S., de la Torre, S., De Lucia, G., Desprez, G., Di Domizio, S., Díaz-Sánchez, A., Vigo, J. A. Escartin, Escoffier, S., Ferreira, P. G., Ferrero, I., Finelli, F., Gabarra, L., Ganga, K., García-Bellido, J., Gaztanaga, E., Giacomini, F., Gozaliasl, G., Gregorio, A., Hall, A., Hildebrandt, H., Ilić, S., Kajava, J. J. E., Kansal, V., Karagiannis, D., Kirkpatrick, C. C., Legrand, L., Loureiro, A., Macias-Perez, J., Maggio, G., Magliocchetti, M., Mannucci, F., Maoli, R., Martins, C. J. A. P., Matthew, S., Maurin, L., Metcalf, R. B., Migliaccio, M., Morgante, G., Nadathur, S., Walton, Nicholas A., Patrizii, L., Pezzotta, A., Pöntinen, M., Popa, V., Porciani, C., Potter, D., Reimberg, P., Risso, I., Rocci, P. -F., Sahlén, M., Sánchez, A. G., Sefusatti, E., Sereno, M., Simon, P., Mancini, A. Spurio, Steinwagner, J., Testera, G., Tewes, M., Teyssier, R., Toft, S., Tosi, S., Troja, A., Tucci, M., Valieri, C., Valiviita, J., Vergani, D., Verza, G., Vielzeuf, P.

Sommario: “... then validate several pipelines for Fisher matrix and MCMC forecasts, using different theory codes, algorithms...”
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Highly Versatile FPGA-Implemented Cyber Coherent Ising Machine di Aonishi, Toru, Nagasawa, Tatsuya, Koizumi, Toshiyuki, Gunathilaka, Mastiyage Don Sudeera Hasaranga, Mimura, Kazushi, Okada, Masato, Kako, Satoshi, Yamamoto, Yoshihisa

Sommario: “... implementations of these algorithms using FPGAs have been used to rapidly find solutions to these problems on a...”
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Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks di Xu, Zirui, Garimella, Sandilya Sai, Tzoumas, Vasileios

Sommario: “... with the network size, while state-of-the-art near-optimal submodular optimization algorithms scale cubically. We...”
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